Performance Analysis of Bagging Feed-Forward Neural Network for Forecasting Building Energy Demand
E. Juan Zarate Perez, Mariana Palumbo Fernández & Ana Lúcia Torres Seroa da Motta · Current Journal of Applied Science and Technology · 2018
Forecast models play a fundamental role in anticipating the effects of the energy demand in buildings to addressing the energy crisis. A forecast model for anticipating from one to three days every 30 min of the building energy demand is presented. In this model, a feed-forward a...
Open access
Research Article
10.9734/CJAST/2018/44836